Validation of lung function prediction equations from patient survival data

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Validation of lung function prediction equations from patient survival data. / Ward, Helen; Cooper, BT; Miller, Martin.

In: The European respiratory journal, Vol. 39, No. 5, 01.05.2012, p. 1181-1187.

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@article{c295ce3c9c2e418fa4db01fe97cf0096,
title = "Validation of lung function prediction equations from patient survival data",
abstract = "Diagnosing and managing pulmonary disease usually requires judging lung function against predicted values. We explored patient survival data to help identify the best equations for our population.The earliest spirometry, lung volumes and gas transfer data for all Caucasian patients was extracted from our database. Survival status was available for 8139 patients. Lung function as standardised residuals (SR) from various prediction equations was used in Cox regression to predict hazard ratio (HR) for death.The best lung function predictor of all-cause mortality was DL,co and then FVC, being best with the US equations of Miller, χ(2)=1468 and 1043 respectively having taken age, sex, smoking status and BMI into account. HR for SR",
keywords = "Cox proportional hazards, diffusing capacity, gas transfer, lung function testing, spirometry",
author = "Helen Ward and BT Cooper and Martin Miller",
year = "2012",
month = may,
day = "1",
doi = "10.1183/09031936.00104911",
language = "English",
volume = "39",
pages = "1181--1187",
journal = "The European respiratory journal",
issn = "0903-1936",
publisher = "European Respiratory Society",
number = "5",

}

RIS

TY - JOUR

T1 - Validation of lung function prediction equations from patient survival data

AU - Ward, Helen

AU - Cooper, BT

AU - Miller, Martin

PY - 2012/5/1

Y1 - 2012/5/1

N2 - Diagnosing and managing pulmonary disease usually requires judging lung function against predicted values. We explored patient survival data to help identify the best equations for our population.The earliest spirometry, lung volumes and gas transfer data for all Caucasian patients was extracted from our database. Survival status was available for 8139 patients. Lung function as standardised residuals (SR) from various prediction equations was used in Cox regression to predict hazard ratio (HR) for death.The best lung function predictor of all-cause mortality was DL,co and then FVC, being best with the US equations of Miller, χ(2)=1468 and 1043 respectively having taken age, sex, smoking status and BMI into account. HR for SR

AB - Diagnosing and managing pulmonary disease usually requires judging lung function against predicted values. We explored patient survival data to help identify the best equations for our population.The earliest spirometry, lung volumes and gas transfer data for all Caucasian patients was extracted from our database. Survival status was available for 8139 patients. Lung function as standardised residuals (SR) from various prediction equations was used in Cox regression to predict hazard ratio (HR) for death.The best lung function predictor of all-cause mortality was DL,co and then FVC, being best with the US equations of Miller, χ(2)=1468 and 1043 respectively having taken age, sex, smoking status and BMI into account. HR for SR

KW - Cox proportional hazards

KW - diffusing capacity

KW - gas transfer

KW - lung function testing

KW - spirometry

U2 - 10.1183/09031936.00104911

DO - 10.1183/09031936.00104911

M3 - Article

C2 - 22005917

VL - 39

SP - 1181

EP - 1187

JO - The European respiratory journal

JF - The European respiratory journal

SN - 0903-1936

IS - 5

ER -